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Embolic Doppler Ultrasound Signal Detection Using Continuous Wavelet Transform to Detect Multiple Vascular Emboli
Author(s) -
Ng Him Shing,
Hao Qing,
Leung Thomas,
Lawrence Wong K. S.,
Nygaard Hans,
Hasenkam J. Michael,
Johansen Peter
Publication year - 2008
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/j.1552-6569.2007.00211.x
Subject(s) - medicine , transcranial doppler , embolus , stenosis , embolism , radiology , carotid arteries , middle cerebral artery , ultrasound , wavelet , doppler effect , stroke (engine) , intracranial embolism , artery , cardiology , ischemia , artificial intelligence , computer science , mechanical engineering , physics , astronomy , engineering
BACKGROUND Ischemic stroke is mainly caused by embolism. Vascular emboli can be solid or gaseous and can be non‐invasively registered by transcranial Doppler ultrasound as microembolic signals (MESs). The existing methods are limited as they do not distinguish between cases in which a single embolus is present and those in which multiple emboli—perhaps a mix of those gaseous and solid in nature—are present. In a previous in vitro study, we have developed a wavelet‐based algorithm to detect multiple emboli. We proceed with this technique to investigate whether it could prove useful in patients.METHOD MESs were collected during emboli monitoring from patients undergoing carotid artery stenting and from patients having middle cerebral artery stenosis, and continuous wavelet transform was used to detect multiple emboli.RESULTS From 17 MESs recorded from middle cerebral artery stenosis patients, we found no multiple MES. From 306 MESs recorded from carotid stenting, we found 31 multiple MESs.CONCLUSION Multiple emboli were detected and quantified in patients using continuous wavelet transform. These were difficult to observe using conventional analysis techniques.